Avsnitt
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In episode #15 of Diaries of a Data Scientist (DODS) we explore the role of being a “Developer Advocate”
▪️ Explore why companies are clamouring for Developer Advocate and why developers are equally interested, despite it seemingly being an unpaid gig (or is it really - find out in the episode?). 🤔
▪️ Learn about the profile of a Developer Advocate (in case you want to go this path), their key responsibilities, and the essential skills they bring to the table. 💼
▪️ Discover the kind of individuals who thrive in this role and why they're crucial assets in bridging the gap between developers and companies. 🌐
▪️ Plus, explore how this position is gaining popularity worldwide and uncover the salary ranges across different countries! 💰
If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️
🖇️ Useful links (unpaid advertisement, personal recommendations):
Megan Lieu https://www.linkedin.com/in/meganlieu/ Tiffany Janzen https://www.linkedin.com/in/tiffany-janzen/Developer relations: https://en.wikipedia.org/wiki/Developer_relations#:~:text=Developer relations%2C abbreviated as DevRel,on purchases%2C of a product
What is developer relations: https://www.techielass.com/what-is-devrel/
Another interesting podcast episode on this topic: https://www.youtube.com/watch?v=DzeD1AshXrQ, @Prismic
How to get into the role: https://www.linkedin.com/pulse/what-heck-developer-advocate-how-become-one-hushen-savani/
Salary ranges:
https://www.glassdoor.de/Salaries/berlin-developer-advocate-salary-SRCH_IL.0,6_IM1020_KO7,25.htm?countryRedirect=true (2024) https://www.joberty.com/blog/developer-advocate-salary/#:~:text=A developer advocate in Germany,about €6%2C500 per month. (2023) https://beincrypto.com/jobs/salary/developer-advocate+germany/ (2024)Search tip To check current positions in the market, please type 'Developer Advocate' into the LinkedIn search bar
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Dive with us into the world of data science with our latest episode, "𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐃𝐞𝐦𝐲𝐬𝐭𝐢𝐟𝐢𝐞𝐝: 5 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐄𝐯𝐞𝐫𝐲 𝐌𝐞𝐧𝐭𝐨𝐫 𝐈𝐬 𝐀𝐬𝐤𝐞𝐝.”
In this episode, we address burning questions and provide invaluable insights to fuel your data science journey.
Have you ever wondered? 🤔
I have a bachelor’s degree in law, art & etc. How can I start my data science learning journey? What is my road map? Is it enough just having a data science bootcamp course to get into the data science field? Do I need a higher degree? How important are soft skills? Why is building a network important in tech? How do data scientists work? Are they looking for projects in a company and automating them, or do they know all databases? What are the development and career options once I enter the Data Science Path?If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️
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Saknas det avsnitt?
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In today’s episode we answer the question of "How do you know what is real and what is fake anymore in the age of AI?"
In this episode, we're diving deep into four crucial chapters of this topic:
Exploring recent examples of AI content (text and image) generation in academia and private life. Diving into techie terms to uncover current solutions for detecting AI-generated text, images, and videos (hello, deepfakes!). Discussing the impactful consequences on our society that we're currently observing.And in the fourth and most practical chapter, we'll be sharing our research and practical findings on how to detect an AI-generated image or text. 🛡️
Don't miss out on this eye-opening conversation! Tune in now! (For our fellow nerds 🤓 we prepared a list of resources below ;-) )
If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️
References used in crafting this episode (unpaid advertisement, personal recommendations):
▪️AI-Generated images:: https://lnkd.in/eiiG2tAE (article: https://lnkd.in/eVgdqU6e) ▪️AI-Generated Text: https://lnkd.in/eqmi4K83 / (article: https://lnkd.in/ef_CsXhT)
▪️Papers on Elsevier (To date, the article remains unchanged, and unrestricted):
https://scholarlykitchen.sspnet.org/2024/03/20/the-latest-crisis-is-the-research-literature-overrun-with-chatgpt-and-llm-generated-articles/ https://www.sciencedirect.com/science/article/pii/S1930043324001298▪️AI Avatar as influencers on TikTok and instagram: https://www.instagram.com/yoursisbillie/?hl=en
▪️"Synthetic Lies: Understanding AI-Generated Misinformation and Evaluating Algorithmic and Human Solutions”: https://dl.acm.org/doi/fullHtml/10.1145/3544548.3581318
▪️Sora GenAI: https://www.crn.com/news/security/2024/openai-we-ll-help-you-detect-videos-made-with-sora-genai-tool
▪️Deepfake Detection: "A fast and Scalable Solution using Machine Learning": https://medium.com/geekculture/deepfake-detection-a-fast-and-scalable-solution-using-machine-learning-618e79fcb07f
EUROPEAN DATA PROTECTION SUPERVISOR: https://www.edps.europa.eu/data-protection/technology-monitoring/techsonar/deepfake-detection_en
▪️C2PA: OpenAI: https://openai.com/sora#safety OpenAI: https://help.openai.com/en/articles/8912793-c2pa-in-dall-e-3
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This time we discuss the topic of “𝐌𝐮𝐬𝐭-𝐇𝐚𝐯𝐞: 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐀𝐈 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐢𝐞𝐬 𝐢𝐧 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞𝐬”. Trust us, there's a lot to uncover! In this episode, we explore how fostering Analytics and AI communities can benefit both companies and employees.
Mutual benefits for enterprises and data professionals alike:
🌎 Networking opportunities 🤝 Project collaborations that foster innovation, growth & transparency 📚 Peer learning for lonely wolves 🤗 Support from people alike 👥 Non-formal meetups where problem-solving becomes a collective endeavor
P.S. Jasmin will be delivering a talk on the significance of Analytics and AI communities in enterprises in Stuttgart on April 25th. Don't miss out! Register for the event here: https://www.biordie.com
If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️
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Episode 11 of "Diaries of a Data Scientist" - 𝐖𝐨𝐦𝐞𝐧 𝐢𝐧 Data Science & 𝐀𝐈: 𝐜𝐮𝐫𝐫𝐞𝐧𝐭 𝐭𝐫𝐞𝐧𝐝𝐬, statistics, networks and opportunities.
If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️
Here's a sneak peek at what's in store (unpaid advertisement, personal recommendations):
Statistics:Computer Science & ICT Students Germany 2022-2023, accessed via: https://franziska-hauck.medium.com/it-insights-computer-science-ict-students-in-germany-2023-addf2d08f525
Study & Good Practice Guide - Women in Tech: https://international.eco.de/women-in-tech-a-good-practice-guide-for-companies/#
50% of women in tech roles leave them by the age of 35. Study by Girls Who Code and Accenture: https://www.accenture.com/us-en/about/corporate-citizenship/tech-culture-reset, read also here.
Communities: Conferences 2024: (please, check our previous episodes for links) Mentorship Follow corporate/social influencers like @Franziska Hauck, @Tim Verhoeven, @Anemari Fiser--- Send in a voice message: https://podcasters.spotify.com/pod/show/jasmin--kate/message -
In our 10th episode we delve into the intricate world of interviews, sharing our insights and advice on what to 𝐞𝐱𝐩𝐞𝐜𝐭 𝐃𝐔𝐑𝐈𝐍𝐆 𝐲𝐨𝐮𝐫 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐢𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 journey and how to ace it!
Among other things, we discuss:
▪️ The challenge of translating ML/AI tasks into 𝐭𝐚𝐧𝐠𝐢𝐛𝐥𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐯𝐚𝐥𝐮𝐞 perspectives.
▪️ Tips on how to 𝐜𝐨𝐧𝐝𝐮𝐜𝐭 𝐲𝐨𝐮𝐫𝐬𝐞𝐥𝐟 and 𝐰𝐡𝐚𝐭'𝐬 𝐞𝐱𝐩𝐞𝐜𝐭𝐞𝐝 𝐟𝐫𝐨𝐦 𝐲𝐨𝐮 during the interview process, as well as what you should anticipate walking into that room.
▪️ The ongoing effort required to 𝐬𝐭𝐚𝐲 𝐮𝐩-𝐭𝐨-𝐝𝐚𝐭𝐞 in this dynamic field and much more that often goes unnoticed from behind the desk.
𝐇𝐞𝐫𝐞'𝐬 𝐚 𝐬𝐧𝐞𝐚𝐤 𝐩𝐞𝐞𝐤 𝐚𝐭 𝐰𝐡𝐚𝐭'𝐬 𝐢𝐧 𝐬𝐭𝐨𝐫𝐞 (unpaid advertisement, personal recommendations):
Soft skills development: Surrounded by Idiots: The Four Types of Human Behavior and How to Effectively Communicate with Each in Business (and in Life) by Thomas Erikson Newsletter like TLDR AI https://tldr.tech/ai**, The Pragmatic Engineer** https://newsletter.pragmaticengineer.com/about , Towards Data Science Newsletter via Medium … STAR method for answering behavioral questions in interviews https://www.indeed.com/career-advice/interviewing/how-to-use-the-star-interview-response-techniqueIf you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️
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🔍 Are you eager to land your dream job? Look no further! Join us as we unveil the essential steps every aspiring data scientist 𝑺𝑯𝑶𝑼𝑳𝑫 𝑻𝑨𝑲𝑬 𝑩𝑬𝑭𝑶𝑹𝑬 venturing into the job market.
If you like our podcast, please consider leaving a review on Spotify, subscribe on YouTube, and leave a comment and/or 👍! This would help us a lot ♥️
In this episode, we delve into the ‼️essential steps aspiring data scientists must take before applying for 👔positions in the field. Drawing from personal experiences, mentoring sessions, and consultations, we've crafted a comprehensive guide to help you navigate the complexities of the data science landscape.
In this episode, we'll delve deep into:
▪️ 𝐏𝐫𝐞𝐩𝐚𝐫𝐢𝐧𝐠 𝐟𝐨𝐫 𝐒𝐮𝐜𝐜𝐞𝐬𝐬: Discover what steps you need to take before even thinking about hitting that "apply" button.
▪️ 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡: Learn the essential strategies for crafting a standout application that catches the eye of recruiters.
▪️ 𝐂𝐡𝐨𝐨𝐬𝐢𝐧𝐠 𝐭𝐡𝐞 𝐑𝐢𝐠𝐡𝐭 𝐅𝐢𝐭: Explore the crucial factors to consider when selecting the perfect company for your career aspirations.
Here's a sneak peek at what's in store (unpaid advertisement, personal recommendations):
@Kaggle: https://www.kaggle.com
@GitHub: https://github.com
@Kununu: https://www.kununu.com
@Glassdor: https://www.glassdoor.de/index.htm
@Linkedin: https://www.linkedin.com
ML algorithms discussed in the episode:
Liner regression Ridge, Lasso, Elastic Net regression Logistic regression Decision tree Random forest SVD k-NN DBSCAN K-means Naive Bayes--- Send in a voice message: https://podcasters.spotify.com/pod/show/jasmin--kate/message -
𝐄𝐩𝐢𝐬𝐨𝐝𝐞 8: "10 Data Science Events you should visit in Germany in 2024” 🚀
In this episode, we've curated a list of must-attend gatherings in the dynamic world of 𝐃𝐚𝐭𝐚 𝐚𝐧𝐝 𝐀𝐈 𝐫𝐢𝐠𝐡𝐭 𝐡𝐞𝐫𝐞 𝐢𝐧 𝐆𝐞𝐫𝐦𝐚𝐧𝐲. Whether you're a seasoned professional or just diving into the data science world, these events are sure to elevate your knowledge and networking game. 🚀
If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️
Here's a sneak peek at what's in store (unpaid advertisement, personal recommendations):
German Data Science Days: https://www.gdsd.statistik.uni-muenchen.de/german-data-science-days-2024/index.html (offline) Women in Data Science Worldwide conference at Stanford Uni: https://www.widsworldwide.org/events/event/wids-stanford-2024/ (offline + online) BARC DATA festival #Munich: https://barc.com/events/data-festival/ (offline) PyCon DE & PyData Berlin: https://2024.pycon.de (offline + online) Rise of AI Conference: https://riseof.ai/conference-2024/ (offline + online) Tech Show Frankfurt: Big Data & AI World: https://www.bigdataworldfrankfurt.de (offline) Data & AI Summit from Databricks: https://www.databricks.com/dataaisummit/ (offline + online) KI-Festival Heilbronn: https://ki-festival.de (offline) Women in Data & AI: https://women-in-data-ai.tech (offline) Level Up Your Data - Community Treffen: https://www.linkedin.com/events/levelupyourdata-workshopstuttga7150498147624968193/about/ (offline) BI or DIEP.S. This episode was inspired by “Data & AI Event Calendar 2024” from Sarah Stemmler. Go check out her profile and the calendar 💪
https://synsugar.com/blog/data-ai-events-die-sie-2024-nicht-verpassen-sollten
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In this special episode, we dive into setting realistic goals, new years resolutions and setting the stage for an even more incredible 2024.
All software, books and courses mentioned are unpaid advertisement and personal recommendations.
Task managers:
Notion TaskadeHabit Trackers:
e.g. Habit Tracker https://apps.apple.com/de/app/habit-tracker-tagesplaner/id1438388363Data Sciences Platforms & courses:
Data Science Courses on coursera Data Science Courses on udemy Reading and writing articles on medium DeepLearning.AI TensorFlow Developer via Coursera (not for free) Currently for free short courses on DeepLearning.AI https://www.deeplearning.ai/short-courses/Books mentioned:
For Business and Personal Development
“CREATIVE PERSONAL BRANDING” by Juergen Salenbacher “From Good to Great” by Jim Collins “Goal” by Eliyahu M. Goldratt “Geniuses and Outsiders” by Malcolm Gladwell “Quit” by Annie Duke “Atomic Habits" by James Clear "The 7 Habits of Highly Effective People" by Stephen R. Covey "Mindset: The New Psychology of Success" by Carol S. Dweck "Inspired: How To Create Products Customers Love" by Marty Cagan “Thinking Fast & Slow” by Daniel KahnemannFor AI & Data Science
“Human Friendly Automation: Arbeit und Künstliche Intelligenz neu denken “ by Hans-Joachim Gergs (Hg.), Lars Schatilow (Hg.), Barbara Langes (Hg.), Tobias Kämpf (Hg.) “Human Compatible: Artificial Intelligence and the Problem of Control” by Stuart Russel "The Art of Data Science" by Roger D. Peng and Elizabeth Matsui--- Send in a voice message: https://podcasters.spotify.com/pod/show/jasmin--kate/message -
Welcome to the Holiday Special ❄️🎄!
In this festive episode, we're unwrapping the secrets behind the making of "Diaries of a Data Scientist." Join us as we share our journey, the tools we use, and some holiday cheer!
We share our motivation, why we chose the Podcast format and more details about our target audience. This episode is especially interesting if you are working full-time and want to hear how Kate and Jasmin are organizing producing this workshop next to their full-time Data Science employments.
In the following we share all our software and hardware being used to produce our Podcast. All are our personal recommendations and are unpaid-advertisements. For all paid services we pay ourselves 😬
👩🏼💻 Software Savvy: The digital tools we use for creating the initial vision of the podcast, recording and editing. From Figma to Riverside, we cover it all.
Figma for visuals, e.g. Logo, Podcast Cover and Youtube thumbnails. ChatGPT with Plus Subscription (roughly 23 € a month) to help us with writing show notes, LinkedIn Posts & Co. SMASHINGLOGO for initial inspiration regarding Logos. We did not like them very much and in the end designed a very minimalistic ones ourselves from scratch. License Free Font for commercial use to design our logo found here Pixabay for a license-free intro and outdo jingle, that plays with every episode. We also checked out the Youtube Audio Library but it was hard to find something that we had in mind. Adobe Voice Enhancer, e.g. if you don’t have good mics yet. Free trial. Google Account for Storage, Mail, accessing Youtube … Notion for our remote-organization, documentation, collecting ideas … Riverside.fm for remote audio & video recording of our podcast. This will make it easy to also include guests at a later stage. We also love the AI features. Paid tier (between 15-19 euro a month). We compared this with Zencastrand Squadcast, but liked the very intuitive handling of Riverside and their functionality best. GarageBand for editing audio, iMovie for editing video (both are Apple solutions and come out-of-the box with the Macbook) Inshot for additional visual editing for socials. We used this only for the trailer and did not see any further need since then. Carrd for our Website https://diariesods.carrd.co. It was built within 30 minutes. Absolutely love this for simple business-card like websites! LinkedIn for engagement. We are publishing our podcast Otherwise, we have just created BI or Die - the Podcast which was mentioned, where Jasmin was a guest in summer 2023.🎙️Hardware Heaven: A look at the microphones, headphones & other hardware that brings our podcast to life.
Condenser USB mic suitable for voice & podcast: Rode NT-USB + . Check out reviews, e.g. on YouTube to find the best mic for you & your budget. Costs between 150 and 170€ Any Laptop will work: we use MacBook Pro since this is what we had at home. So no need to buy any new devices! Headphones for hearing each other without risking echo: Any headphones will work, we use AirPods from Apple, because they are nice & small. Any Ring Light or LED Video Light will work. We use: Ring Lights from Amazon (between 80 - 100 €). We are considering switching to square lights to avoid circular reflection in the eyes.Equipment can really influence the sound quality:
If you want to hear the difference yourself, check out our first episode vs. the current one. In the first episode, we did not have professional mics and used the inbuilt mics of Apple AirPods and Apple AirPods Max respectively. Lastly, we used Adobe Speech Enhancer to improve on the quality. Nevertheless, you can clearly hear the added richness with better mics and not needing post-sound enhancing.
📈 Status 25th December we have 21 Subscribers and 280 clicks on our channel on Youtube.
We use the analytics functions from Spotify for Podcasters and Apple Podcasts to monitor engagement.
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🔍 Episode 5: "𝐁𝐚𝐥𝐚𝐧𝐜𝐢𝐧𝐠 𝐖𝐨𝐫𝐤 , 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐋𝐢𝐟𝐞 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞” is an absolute must-listen for all the data enthusiasts out there who understand the struggle of keeping up in this fast-paced field. 🚀
In this episode, we delve into both structured and unstructured methods, internal and external sources of knowledge, and spill the beans on our personal tips for goal setting and the importance of maintaining a constant routine. 📚🔄
And guess what? For the first time, we've transformed our 𝒑𝒐𝒅𝒄𝒂𝒔𝒕 𝒊𝒏𝒕𝒐 𝒂 𝒗𝒊𝒅𝒆𝒐 𝒇𝒐𝒓𝒎𝒂𝒕 on Spotify! Dive in and enjoy this Sunday evening.
But that's not all – we've crafted a small poll 📊 for our listeners. Check it out and let us know your thoughts!
Don't miss out on this knowledge-packed episode! 🚀 Subscribe, tune in, and let us know your thoughts.
#DataScience #Podcast #LearningJourney #CareerGrowth #TechTalk #StayUpdated #DiariesOfaDataScientist 🚀📊
Resources mentioned in this episode (unpaid advertisement, personal recommendations):
Me, myself and AI - https://sloanreview.mit.edu/audio-series/me-myself-and-ai/ digital kompakt - https://www.digitalkompakt.de/podcast/ minimal empires - https://www.podcast.de/podcast/3090494/minimal-empires the data scientist show - https://www.youtube.com/c/thedatascientistshow Sundas Khalid - https://sundaskhalid.com TLDR - https://tldr.tech deep learning academy: Andrew Ng + letter - https://www.deeplearning.ai/courses/ai-for-everyone/ (example) coursera - https://www.coursera.org udemy - https://www.udemy.com linkedin learning - https://www.linkedin.com/learning/ deep learning academy - https://www.deeplearning.ai khan academy - https://www.khanacademy.org--- Send in a voice message: https://podcasters.spotify.com/pod/show/jasmin--kate/message -
🚨Set your timers for a power-packed 30-minute ride as we're delving deep into the world of breakthrough technologies like Generative AI, and the burning questions they raise for data scientists in the here and now:
What are the effects and consequences of these game-changing technologies? (incl. business side) Whether you're an aspiring data scientist or a seasoned pro, we'll explore some important considerations for individuals looking to dive into this dynamic field. Is data science still the career of your dreams? Do you still need to learn how to program to become a data scientist?Listen also on:
🎧 Spotify: https://podcasters.spotify.com/pod/show/jasmin--kate/episodes/AI-Revolution-in-Data-Science-e2ce2hl
🎧 Apple Podcast: https://podcasts.apple.com/de/podcast/diaries-of-a-data-scientist/id1710961657
🎬 YouTube: https://youtu.be/3yIfgPyCI9A?si=5iGfZCnJ8M0Z9LU0
Influencers mentioned in the episode (unpaid advertisement/recommendation):
Sundas Khalid: https://www.linkedin.com/in/sundaskhalid/ Allie K. Miller: https://www.linkedin.com/in/alliekmiller/ Daliana Liu: https://www.linkedin.com/in/dalianaliu/🔥 Join us in Episode 4 as we navigate through the fascinating intersection of data science, emerging technologies, and career choices. It's not just a podcast; it's a journey into the heart of the data-driven reality!
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In our latest episode of 'Diaries of a Data Scientist,' we deep dive into the essential soft skills every data enthusiast should master! 🧠💡
Join us for a captivating 30-minute exploration as we discuss the art of communication, time-management, the magic of storytelling, the role of creativity, problem-solving prowess, and the resilience that fuels success in the world of data science.
Listen also on:
🔗 Spotify: https://anchor.fm/jasmin--kate
🔗 Apple: https://podcasts.apple.com/de/podcast/diaries-of-a-data-scientist/id1710961657
🔗 YouTube: https://www.youtube.com/watch?v=HK7mhEd-8C0
Learning sources mentioned in the episode:
https://www.linkedin.com/learning/data-visualization-storytelling https://gdexa.com/de/skilling/masterclasses/--- Send in a voice message: https://podcasters.spotify.com/pod/show/jasmin--kate/message -
Breaking into Data Science:
Dive into the world of data science and explore why it might be the right role for you. We discuss the diverse roles within this field and the essential skills you need.
YouTube: https://www.youtube.com/@DiariesOfADataScientist/featured
Apple Podcast: https://podcasts.apple.com/de/podcast/diaries-of-a-data-scientist/id1710961657
Spotify Podcast: https://open.spotify.com/show/1DAelRe22W8vBHK7rTU361
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Imagine mentoring as an art canvas, awaiting your unique strokes of mentorship mastery. Drawing from our 4+ years mentoring journey, we present 10 pivotal components for success. Whether you're a mentee seeking direction or a mentor eager to guide, this episode is for you. Tune in and let us guide you toward fulfilling mentorship journey.
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Our podcast episodes will be released every two weeks, featuring a new topic rooted in our shared experience as Data Scientists in the industry, as well as mentoring global Data Talents.
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We're excited to dive into discussions covering a wide spectrum of data science themes and aim to offer valuable insights and actionable advice to our listeners, whether you're a beginner or an expert.
